Measles Reactivity in Windsor Patients Post Autologous Versus Allogeneic Hematopoietic Cell Transplantation: A Retrospective Review
Bibliographic record
Abstract
Background As the antivaccine movement has increased, vaccine preventable illnesses have also increased. The resurgence of measles globally has been noted, specifically the United States received 1200 new cases of measles in 2019, which is the highest number of cases since 1994. Measles is a highly contagious pathogen; the virus has an attack rate of up to 90% in susceptible individuals. Standard of care for patients post hematopoietic cell transplant (HCT) includes repeating all childhood vaccinations. However, compliance with recommendations is unknown. No previous reports have been created measuring the difference in measles, mumps, and rubella (MMR) reactivity between autologous and allogeneic HCT patients post treatment. Methods A retrospective chart review investigated HCT patients between 2000-2019 from the Windsor Regional Hospital (WRH) cancer centre. Patients were excluded from data collection if they were deceased before an MMR reactivity test could be done or if they were lost to follow up. A total of 83% of autologous HCT (N=57) and 66% of allogeneic HCT (N=47) patients had serology tested to measure MMR reactivity post-transplant prior to live vaccinations. MMR titres were drawn from autologous patients a median of 395 days after HCT and a median of 907 days after HCT for allogeneic patients. Results Overall, allogeneic HCT patients had more reactivity than autologous HCT patients as seen in Table 1. Conclusion All patients not reactive to measles need to be re-vaccinated 24 months after treatment according to 2019 American Society for Transplantation and Cellular Therapy guidelines. Our patients are treated in a variety of transplant centers in Ontario, Canada as well as Detroit, Michigan; which is of concern because measles cases have been reported in Detroit. The majority (66%) of allogeneic HCT patients had a myeloid malignancy, while 70% of autologous patients has a diagnosis of multiple myeloma. As evidenced by the poor MMR response, less robust immune systems may be accounted for by multiple myeloma patients. This does emphasize the need for MMR vaccinations post HCT for multiple myeloma patients and raises the question regarding immunization for at risk non-transplant eligible patients. We suggest that it may be reasonable to assess MMR immune status in all myeloma patients to determine if this is a transplant effect or an effect of the underlying immune status of the myeloma patient. This study does emphasize the need to assess MMR status post transplant in all myeloma patients, as the vast majority in our study did not demonstrate immunity post stem cell transplant. Figure Disclosures Hamm: Amgen: Consultancy.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".